dhuynh95 / fastai_bayesianLinks
Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
☆35Updated 4 years ago
Alternatives and similar repositories for fastai_bayesian
Users that are interested in fastai_bayesian are comparing it to the libraries listed below
Sorting:
- Manifold-Mixup implementation for fastai V1☆19Updated 5 years ago
- Converting EfficientNet to Pytorch for use with fastai☆27Updated 6 years ago
- A few baselines with a standard tabular model☆38Updated 5 years ago
- Developing and integrating methods for fastai2 tabular with other datatypes☆26Updated 3 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 5 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆61Updated 4 years ago
- FasterAI: A repository for making smaller and faster models with the FastAI library.☆35Updated last year
- Code you can use jointly with fastai☆93Updated 5 years ago
- Experiments with self-supervised learning☆11Updated 5 years ago
- A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges☆63Updated 3 years ago
- NeuralPy: A Keras like deep learning library works on top of PyTorch☆79Updated last year
- Manifold-Mixup implementation for fastai V2☆17Updated 5 years ago
- TF 2.x and PyTorch Lightning Callbacks for GPU monitoring☆92Updated 5 years ago
- A queue service for quickly developing scripts that use all your GPUs efficiently☆88Updated 3 years ago
- ☆54Updated 5 years ago
- Research repo for code that may or may not end up in fastai3☆50Updated 4 years ago
- Cornell Birdcall Identification (a Kaggle competition) starter pack☆53Updated 2 years ago
- Unofficial Colab on how to train DETR, the intelligent object detector, with your own dataset. DETR = Detection Transformer☆39Updated 5 years ago
- A lightweight library for tensorflow 2.0☆65Updated 6 years ago
- Repo for work on deep learning for tabular data☆15Updated 5 years ago
- Notebooks for the fast.ai v3 course☆10Updated 7 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 5 years ago
- A tutorial example for nbdev☆15Updated 3 years ago
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- Python library for various computer vision problems with a focus on easy usage.☆18Updated 5 years ago
- My experiments and progress within various fastai applications☆56Updated 6 years ago
- A collection of code snippets for my PyTorch Lightning projects☆107Updated 5 years ago
- a lightweight transformer library for PyTorch☆72Updated 4 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆23Updated 5 years ago